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                <h1 class="doc-title"><span aria-hidden="true" class="icon icon_gift"></span> SparkNLP - License &amp;
                    Credits</h1>
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                            <h2 class="section-title">License</h2>
                            <p> The library is under Apache 2.0 license, written in Scala with no dependencies on other
                                NLP or ML libraries, and designed to natively extend the Spark ML <a
                                        href="http://blog.insightdatalabs.com/spark-pipelines-elegant-yet-powerful/"
                                        target="_blank">Pipeline API</a>.</p>
                            <p><a href="http://www.johnsnowlabs.com/" target="_blank">John Snow Labs</a> is the company
                                leading and sponsoring the development of the Spark NLP library. The company provides
                                commercial support, indemnification and consulting for it. This provides the library
                                with long-term financial backing, a funded active development team, and a growing stream
                                of real-world projects that drives robustness and roadmap prioritization.</p>
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                            <h2 class="section-title">Acknowledgements</h2>
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                                <p><b>Alex Thomas</b> from Indeed and <b>David Talby</b> from <i>Pacific AI</i>, for the initial design and
                                    code of this library.</p>
                                <p><b>Saif Addin Ellafi</b> from John Snow Labs for building the first client-ready version of
                                    the library.</p>
                                <p><b>Eduardo Munoz</b>, <b>Navneet Behl</b>, <b>Danilo Burbano</b> and <b>Anju Aggarwal</b> from <i>John Snow Labs</i> for expanding the
                                    production grade codebase and functionality, and for managing the project.</p>
                                <p><b>Aleksei Alekseev</b> and <b>Alberto Andreotti</b> from <i>Pacific AI</i> for contributing machine learning annotators to the library</p>
                                <p><b>Joseph Bradley</b> and <b>Xiangrui Meng</b> from <i>Databricks</i>, for guidance on the Spark ML API
                                    extension guidelines.</p>
                                <p><b>Claudiu Branzan</b> from <i>G2 Web Services</i>, for design contributions and review.</p>
                                <p><b>Ben Lorica</b> from <i>O’Reilly</i>, for driving us to move this from idea to reality.</p>
                                <p><b>Emmanuel Asimadi</b> for testing, reporting issues and building an in progress documentation</p>
                                <p><b>Maziyar Panahi</b> for reporting valuable performance feedback and reporting issues</p>
                                <p><b>Vincenzo Gaudenzi</b> from DXC.technology for contributing Italian datasets and models</p>
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